This　paper　presents　a　Distributed　Simultaneous　Localization　and　Mapping　(DSLAM)　technique　to　realize　Laser　Range　Finder　(LRF)　and　stereo　vision　based　3D　robotics　fast　mapping.　The　motivation　stems　from　the　fact　that　the　optimization　procedure　of　laser　scan　matching　involved　in　robot　SLAM　and　the　stereo　ranging　is　both　computationally　intensive.　In　DSLAM,　parallelism　mechanism　is　studied　by　using　multi-thread　architecture.　Experimental　results　demonstrated　the　effectiveness　of　DSLAM　in　improving　the　efficiency　of　robot　mapping.